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In this article we consider the probabilistic identification of amino acid positions that evolve under positive selection as a multiple hypothesis testing problem. The null hypothesis"H 0,s : site s evolves under a negative selection or under a neutral process of evolution" is tested at each codon site of the alignment of homologous coding sequences. Standard hypothesis testing is based on the control of the expected proportion of falsely rejected null hypotheses, or type-I error rate. As thedoi:10.1093/molbev/msj095 pmid:16423864 fatcat:3a5bqg6trfgd5gyslqache3jmu